Bakir Hadzic

According to our database, Bakir Hadzic authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enhancing Individual Self-Efficacy Through a Self-Growing Memory Artificial Intelligence Agent Integrated with a Diary Application.

Yuchen Guo, Chyan Zheng Siow, Wei Hong Chin, Bakir Hadzic, Akihiro Yorita, Takenori Obo, Matthias Rätsch, Naoyuki Kubota

J. Adv. Comput. Intell. Intell. Informatics, January, 2025

Emotional Dynamics in Semi-Clinical Settings: Speech Emotion Recognition in Depression-Related Interviews.

Bakir Hadzic, Julia Ohse, Mohamad Eyad Alkostantini, Nicolina Laura Peperkorn, Akihiro Yorita, Thomas Weber, Naoyuki Kubota, Youssef Shiban, Matthias Rätsch

Proceedings of the 11th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2025

2024

Zero-Shot Strike: Testing the generalisation capabilities of out-of-the-box LLM models for depression detection.

Julia Ohse, Bakir Hadzic, Parvez Mohammed, Nicolina Laura Peperkorn, Michael Danner, Akihiro Yorita, Naoyuki Kubota, Matthias Rätsch, Youssef Shiban

Comput. Speech Lang., 2024

AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study.

Bakir Hadzic, Julia Ohse, Michael Danner, Nicolina Laura Peperkorn, Parvez Mohammed, Youssef Shiban, Matthias Rätsch

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Overcome Ethnic Discrimination with Unbiased Machine Learning for Facial Data Sets.

Michael Danner, Bakir Hadzic, Robert Radloff, Xueping Su, Le Ping Peng, Thomas Weber, Matthias Rätsch

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Advancing Mental Health Diagnostics: GPT-Based Method for Depression Detection.

Michael Danner, Bakir Hadzic, Sophie Gerhardt, Simon Ludwig, Irem Uslu, Peng Shao, Thomas Weber, Youssef Shiban, Matthias Rätsch

Proceedings of the 62nd Annual Conference of the Society of Instrument and Control Engineers, 2023

Towards Equitable AI in HR: Designing a Fair, Reliable, and Transparent Human Resource Management Application.

Michael Danner, Bakir Hadzic, Thomas Weber, Xinjuan Zhu, Matthias Rätsch

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023